Goran Tepić | Engineering and Technology | Innovative Research Award

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Goran Tepić | Engineering and Technology | Innovative Research Award

Assist. Prof. Dr Goran Tepić, University of Novi Sad, Faculty of Technical Sciences, Serbia

Assist. Prof. Dr. Goran Tepić 🎓🔬 is a researcher and educator in Industrial Engineering and Engineering Management. He earned his Ph.D. in 2019 from the University of Novi Sad, focusing on risk management in hazardous substances 🚛⚠️. An assistant professor at the Faculty of Technical Sciences, he has published over 20 papers in leading journals 📚. He co-founded Serbia’s dangerous goods cluster and serves as a safety adviser for ADR/RID transport 🚆. His expertise spans risk analysis, logistics security, and environmental protection 🌍. Fluent in Serbian 🇷🇸 and English 🇬🇧, he is dedicated to advancing industrial safety and engineering.

Publication Profile

Orcid

Education

Assist. Prof. Dr. Goran 🎓 is a dedicated scholar in Industrial Engineering and Engineering Management. He earned his Ph.D. (2014-2020) from the Faculty of Technical Sciences, University of Novi Sad, Serbia 🏗️📊. Before that, he completed his Master’s in Engineering Management (2013-2014) 🎯 and his Bachelor’s with Honours in Engineering Management (2010-2013) 🏅 from the same institution. His academic journey reflects a strong commitment to engineering excellence, innovation, and management strategies. With expertise in industrial processes and technical advancements ⚙️📈, he contributes significantly to the field through research, teaching, and leadership in engineering education. 🚀

Experience

Assist. Prof. Dr. Goran 🎓 is a dedicated scholar in Industrial Engineering and Engineering Management. He earned his Ph.D. (2014-2020) from the Faculty of Technical Sciences, University of Novi Sad, Serbia 🏗️📊, after completing his Master’s in Engineering Management (2013-2014) 🎯 and his Bachelor’s with Honours (2010-2013) 🏅 from the same institution. His academic journey showcases a deep commitment to engineering excellence, innovation, and management strategies. With expertise in industrial processes and technical advancements ⚙️📈, he plays a vital role in research, teaching, and leadership, contributing significantly to engineering education and the future of industrial management. 🚀

Recognition & Impact 

Assist. Prof. Dr. Goran is dedicated to tackling critical industrial and environmental challenges, focusing on chemical accidents, hazardous material storage, and industrial risk analysis ⚠️🏭. His research plays a vital role in enhancing safety measures and sustainability in industrial settings 🌍🔬. Through multi-criteria analysis, he provides innovative solutions for risk assessment and decision-making 🧠📊. Additionally, his work promotes environmental awareness and sustainable industrial practices, bridging the gap between industry and ecological responsibility 🌱♻️. His multidisciplinary contributions are shaping a safer and greener future, making a significant impact on industrial safety and environmental protection 🚀🌎.

Research Focus

Assist. Prof. Dr. Goran Tepić’s research focuses on risk assessment, operational safety, and environmental protection in industries dealing with hazardous materials 🚛⚠️. His work explores accidents in storage facilities, risk management in dangerous substances, and tracking hazardous goods via GPS/GSM 📡📊. He also delves into friction stir welding simulations, urban forestry for sustainability, and reducing metal pollution in water 🌿💧. His interdisciplinary approach combines engineering, logistics, and environmental science to enhance industrial safety and sustainability 🔬🌎. His contributions support efficient resource management and risk reduction strategies in metallurgy, transport, and environmental protection 🏭📉.

Publication Top Notes

Accidents in Facilities for Storing Hazardous Materials

Influential parameters and numerical simulation of heat generated in the process of friction stir welding

Assessment and risk management in the system of dangerous substances

Vehicle Tracking in the Process of Transport of Dangerous Goods GPS/GSM Technology

The urban forests as Environmental Strategy

Sofiene Mansouri | Engineering and Technology | Best Researcher Award

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Sofiene Mansouri | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Sofiene Mansouri, Prince Sattam Bin Abdelaziz University, Saudi Arabia

Assoc. Prof. Dr. Sofiene Mansouri is a distinguished academic in biomedical engineering and medical electronics. He holds a Ph.D. in Electronics, specializing in non-invasive cardiovascular diagnostics, and has expertise in medical devices, biosensors, and biomedical electronics. Currently an Associate Professor at Prince Sattam bin Abdulaziz University (PSAU) in Saudi Arabia, he leads the Scientific Research Unit. He has contributed to multiple research projects on breast cancer detection, smartwatches, and vital sign monitoring. With over 30 publications, Dr. Mansouri has co-supervised PhDs and won university awards for innovative student projects. 🧑‍🔬📚🩺💡

Publication Profile

Google Scholar

Education and Expertise 

Assoc. Prof. Dr. Sofiene Mansouri is an expert in Biomedical Engineering, holding a Habilitation Diploma, a Ph.D. in Electronics with a focus on Medical Electronics, and a Master’s in Biomedical Engineering. His research centers on non-invasive diagnostics, biosensors, and biomedical device design. He has made significant contributions to cardiovascular health and breast cancer detection, showcasing his dedication to advancing medical technologies. With a strong academic foundation and a passion for improving healthcare through innovation, Dr. Mansouri continues to push boundaries in medical electronics and biomedical engineering. 🩺💡🔬📡🎗

Professional Experience

Assoc. Prof. Dr. Sofiene Mansouri has over two decades of experience in academia, holding roles such as Associate Professor, Assistant Professor, and Research Unit Head. His leadership extends to administrative positions, including Vice-Director and Internship Director at ISTMT, as well as head of several academic departments. Dr. Mansouri’s impact goes beyond teaching and research—he founded and served as president of the Tunisian Association of Biomedical Engineering. His extensive contributions in academia, administration, and professional organizations highlight his exceptional expertise and dedication as both a researcher and educator. 🎓🔬📚👨‍🏫⚙️

Recognition and Funding 

Assoc. Prof. Dr. Sofiene Mansouri leads innovative research projects funded by the Deanship of Scientific Research at Prince Sattam bin Abdulaziz University. His work focuses on advanced diagnostic technologies, with notable projects such as breast cancer detection and blood pressure determination using photoplethysmography. These groundbreaking studies not only contribute to the scientific community but also play a vital role in enhancing public health. Dr. Mansouri’s dedication to medical advancements underscores his significant impact in healthcare, making vital strides toward improving diagnostic accuracy and patient care. 🧑‍🔬🔬💉🎗️

Research Focus

Assoc. Prof. Dr. Sofiene Mansouri’s research focuses on electrical bioimpedance techniques, including impedance cardiography and electrical impedance tomography, with applications in medical diagnostics. His work involves signal denoising methods and the development of innovative biosensors, such as CRISPR/Cas-based sensors for detecting mycotoxins. Dr. Mansouri is also exploring non-invasive approaches for detecting breast cancer and valvular heart diseases using bioimpedance. Additionally, his research delves into enhancing materials like chitosan films for biomedical applications and developing bacteria-imprinted polymers for pathogen detection. His contributions span biomedical engineering, biosensors, and bioimpedance technology. 🩺🔬💡🧬🫀

Publication Top Notes

Electrical Impedance tomography: Recent applications and developments

Impedance cardiography: recent applications and developments

Image distortion from zoom lenses: modeling and digital correction

Impedance cardiography signal denoising using discrete wavelet transform

CRISPR/Cas-based nanobiosensors: A reinforced approach for specific and sensitive recognition of mycotoxins

Breast Cancer Detection Using Low-Frequency Bioimpedance Device

Enhancement of mechanical properties of chitosan film by doping with sage extract-loaded niosomes

A review of new emerging biosensors based on bacteria-imprinted polymers towards pathogenic bacteria: Promising new tools for selective detection

Signal processing techniques applied to impedance cardiography ICG signals – a review

Dual-mode colorimetric and fluorescence biosensors for the detection of foodborne bacteria

Molecularly imprinted polymers for biosensing of hormones in food safety and biomedical analysis: Progress and perspectives

Non‐invasive Measurement of Blood Glucose by Breath Analysis

Mona AbouEleaz | Engineering and Technology | Best Researcher Award

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Mona AbouEleaz | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Mona AbouEleaz, Mansoura University, Egypt

Assoc. Prof. Dr. Mona AbouEleaz 🌍⚙️ is a distinguished academic in Production Engineering at Mansoura University, Egypt. With a Ph.D. in Production Engineering 🎓, her expertise spans Smart Manufacturing, Industry 4.0, Lean Six Sigma, and Quality Improvement approaches 📊. She has held roles as a postdoctoral researcher in Canada 🇨🇦 and visiting lecturer in the UK 🇬🇧. As the Executive Director of the University Center for Career Development, she fosters student growth 🚀. Dr. AbouEleaz has published extensively 📚, supervised over 35 projects 🛠️, and actively contributes to academic accreditation and international collaborations 🌐. She enjoys reading, drawing, sports, and traveling ✈️🎨.

Publication Profile

Google Scholar

Education

Assoc. Prof. Dr. Mona AbouEleaz holds a Ph.D. in Production Engineering from Mansoura University, Egypt (2010–2015), with a thesis titled “Lean Six Sigma Practices into an Organizational Quality Management System” 🎯📊. She earned her M.Sc. in Industrial Engineering from Alexandria University (2005–2008), focusing on “Hierarchic Framework for Quality Improvement Approaches” ⚙️📈. Dr. AbouEleaz also holds a B.Sc. in Production Engineering & Mechanical Design from Mansoura University, graduating with honors and ranking first in her class 🏅🎓. Her academic journey reflects a strong commitment to quality improvement, engineering excellence, and continuous innovation 🔍💡.

Experience

Assoc. Prof. Dr. Mona AbouEleaz is a distinguished academic with extensive experience in mechanical design and production engineering. She’s a lecturer at Mansoura University, Egypt 🇪🇬, and has served as a visiting lecturer at the University of Central Lancashire, UK 🇬🇧, and a postdoctoral researcher at the University of Calgary, Canada 🇨🇦. Dr. AbouEleaz excels in leadership roles, serving as Executive Director of the University Career Center and coordinating ERASMUS programs 🌍. Her contributions to strategic planning, quality assurance ✅, and international collaboration 🤝 have significantly advanced Mansoura University’s academic landscape.

Research Focus

Assoc. Prof. Dr. Mona AbouEleaz’s research focuses on advanced manufacturing processes, particularly in Wire Electrical Discharge Machining (WEDM) and material performance analysis. Her work explores surface roughness, material removal rates, and optimization of machining parameters for alloys like AISI304 and AISI316. She also delves into roundness measurement techniques, finite element analysis, and the impact of ERP systems on production efficiency. Additionally, her studies address supply chain performance and process improvement strategies in manufacturing. ⚙️🔩📊✨🔍

Research Interest

Assoc. Prof. Dr. Mona AbouEleaz’s research focuses on Smart Manufacturing and Industry 4.0 🚀🏭. She specializes in enhancing the performance of production and service systems through Quality Improvement approaches, including Lean Six Sigma 📊, optimization methods ⚙️, and Response Surface Methodology. Her expertise extends to Uncertainty Analysis, MCDM (Multi-Criteria Decision Making), and Decision Making Under Uncertainty 🤔. Dr. Mona also works on Measurement Uncertainty, Mechanical Testing 🧪, and utilizes tools like Minitab and ANSYS for statistical and engineering analysis. Her research aims to boost efficiency, precision, and decision-making in advanced manufacturing environments 🌟.

Publication Top Notes

Experimental investigation of surface roughness and material removal rate in wire EDM of stainless steel 304

Methods of roundness measurement: An experimental Comparative study

Wire Electrical Discharge Machining of AISI304 and AISI316 Alloys: A Comparative Assessment of Machining Responses, Empirical Modeling and Multi-Objective Optimization

The Impact of Enterprise Resource Planning (ERP) Implementation on Performance of Firms: A Case to Support Production Process Improvement.

A critical review of supply chain performance evaluation

A study of drilling parameter optimization of functionally graded material steel–aluminum alloy using 3D finite element analysis

Automated Classification of Marble Types Using Texture Features and Neural Networks: A Robust Approach for Enhanced Accuracy and Reproducibility

Types Using Texture Features and Neural Networks: A Robust Approach

Investigating the Impact of Cutting Parameters on Roundness and Circular Runout Using Signal-to-noise Ratio Analysis

 

chen yan | Engineering and Technology | Best Researcher Award

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chen yan | Engineering and Technology | Best Researcher Award

Dr chen yan, Shantou Polytechnic, China

Dr. Chen Yan 🎓 is a dedicated researcher in Structural Engineering, holding a Ph.D. from Shantou University 🏗️. Currently a Postdoc at Shantou University and a Lecturer at Shantou Polytechnic 📚, Dr. Chen specializes in foamed concrete modification, geopolymer materials, and building sustainability 🌱. With numerous journal publications 📄, patents ⚙️, and leadership in scientific projects 🔬, he has guided students to win prestigious competitions 🏆. Honored as a “Shantou Youth Skilled Expert” in 2021 🌟, his work bridges academic excellence and practical innovation in civil engineering 🏢.

Publication Profile

Scopus

Education Background 

Dr. Chen Yan 🎓 is a dedicated scholar in Civil and Environmental Engineering. Currently a Postdoctoral Researcher at Shantou University 🏫 (since December 2024), Dr. Yan earned a Ph.D. in Structural Engineering (2015–2024) and a Master’s in the same field (2010–2013) from Shantou University, Guangdong, China 🌏. His academic journey began with a Bachelor’s in Civil Engineering from Hebei Normal University of Science & Technology (2005–2009) 🏗️. With a strong foundation in structural engineering, Dr. Yan focuses on innovative research, contributing to advancements in civil infrastructure and environmental sustainability 🌱🔬.

Experience

Dr. Chen Yan has been a dedicated Lecturer at Shantou Polytechnic, Guangdong, China, since July 2013 📚. She teaches courses like “G101 Flat Method Drawing and Detail Application” and “Building Mechanics and Structure” 🏗️. As a first advisor, she guided students to win prestigious awards, including the Grand Award and “Excellent Advisor Award” at the 15th “Challenge Cup” in 2019 🏆. She also mentored projects under the “Climbing Plan” and secured Innovation Awards in entrepreneurship competitions 💡. Earlier, she served as Assistant Project Manager at Dongguan Fuying Real Estate Co., Ltd. (2009–2010), assisting with construction applications 🏢.

Awards 

Dr. Chen Yan 🏅 was honored with the title of “Shantou Youth Skilled Expert” for the 2020-2021 period in recognition of exceptional expertise and contributions. In July 2023, Dr. Yan successfully presided over the application for the “Off-campus Practical Teaching Demonstration Base for Engineering Cost Major” in collaboration with Jichuanying Ancient Building Construction Co., Ltd. 🏗️ This initiative received official certification from the Guangdong Provincial Department of Education 🎓, highlighting Dr. Yan’s dedication to enhancing practical teaching and promoting academic-industry integration. 🌟

Research Interests 

Dr. Chen Yan specializes in foamed concrete modification research 🧪🏗️, focusing on enhancing the performance of cementitious materials. His work includes the analysis of micro-properties of these materials 🔬, providing insights into their structural behavior. He also utilizes numerical simulation techniques 💻 to predict and optimize the performance of cementitious composites. Dr. Yan’s research extends to innovative geopolymer materials 🌍, promoting eco-friendly construction solutions. Additionally, he is dedicated to advancing building energy efficiency and sustainability 🌱🏢, contributing to greener and more energy-efficient architectural designs. His multidisciplinary approach drives innovation in modern construction technologies. 🚀

Project Leadership

Dr. Chen Yan’s research focuses on material performance improvement and vocational education strategies. 🧪🔬 In the field of materials science, Dr. Chen explores innovative techniques to enhance material durability, efficiency, and sustainability, contributing to advancements in industrial applications. ⚙️🌍 Simultaneously, Dr. Chen is dedicated to improving vocational education, developing strategies to align technical skills with evolving industry demands. 🎓📚 His work bridges the gap between scientific innovation and practical workforce development, ensuring that both materials and human resources achieve optimal performance. 🚀🤝 Through government-funded projects, Dr. Chen fosters growth in both technology and education sectors. 💼🔍

Research Focus

Dr. Chen Yan’s research focuses on materials science and civil engineering 🏗️🔬. Specializing in the preparation and properties of wollastonite-microfiber-modified foamed concrete 🧪🧱, Dr. Yan explores advanced construction materials to enhance mechanical strength, durability, and thermal insulation 🌡️⚡. The work emphasizes optimizing foamed concrete with wollastonite microfibers to improve structural performance, lightweight applications, and eco-efficiency 🌍♻️. This research contributes significantly to sustainable building technologies, offering innovative solutions for modern construction projects 🏢🚀. Dr. Yan’s studies bridge the gap between material innovation and real-world construction needs, promoting resilience and sustainability in infrastructure development 🌆🏞️.

Publication Top Notes

Preparation and properties of wollastonite-microfiber-modified foamed concrete

 

 

MUHAMMAD ISHFAQ | Engineering and Technology | Best Researcher Award

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MUHAMMAD ISHFAQ | Engineering and Technology | Best Researcher Award

Dr MUHAMMAD ISHFAQ, Lanzhou University of Technology, China

Dr. Muhammad Ishfaq is a dynamic engineer with a strong research foundation and leadership skills. He holds a Ph.D. from Beijing University of Posts and Telecommunications, specializing in millimeter-wave OAM vortex beam generation through transmissive metasurfaces. With experience as an Assistant Professor at The University of Faisalabad, he led academic projects and supervised students. Dr. Ishfaq has expertise in antenna design, signal processing, and wave propagation. His research focuses on advanced wireless communication technologies and antenna performance, contributing to the development of 5G and beyond. He is skilled in simulation tools like ANSYS HFSS, MATLAB, and CST. 📡📚🎓🌐

Publication Profile

Orcid

Academic Qualification

Dr. Muhammad Ishfaq is a distinguished researcher with a PhD in Electrical Engineering from Beijing University of Posts and Telecommunications (2018–2024), where he conducted groundbreaking research on millimeter wave OAM vortex beams generation through transmissive metasurfaces. He holds a Master of Science in Electrical Engineering, specializing in Signal Processing & Wave Propagation, from Linnaeus University, Sweden (2010–2013), and participated in the Erasmus Exchange Program at Université de Technologie de Belfort Montbéliard, France (2011–2012). Dr. Ishfaq completed his Bachelor’s in Electrical and Electronics Engineering at Bahauddin Zakariya University, Multan, Pakistan (2004–2009). ⚡📡🎓

Professional Experience

Dr. Muhammad Ishfaq served as Assistant Professor at The University of Faisalabad from 2013 to 2018. His roles included Project Coordinator, faculty support in research, and member of the Quality Enhancement Committee (QEC). He also served as Alumni Association Coordinator and managed the Antenna Propagation and Measurement & Instrument Lab. As Program Coordinator in the Department of Electrical Engineering, he oversaw curriculum development and accreditation for the BE Electrical program. Additionally, he was the IEEE Sub-Branch Counselor, organizing seminars and CPDs. Dr. Ishfaq supervised various projects, including the Erasmus Schools Project in Sweden and the National Internship Program. 🎓📚🔬

Research and Development

Dr. Muhammad Ishfaq’s PhD dissertation, “Research on Millimeter Wave OAM Vortex Beams Generation Through Transmissive Metasurfaces,” focuses on advancing OAM antenna technology for 6G communication. His work introduces innovative unit cells, transmitarrays, and slot elements for broadband vortex beam generation in the Ka-band. The research achieved significant results with mode purities exceeding 70%, peak gain of 23.8 dBi, and bandwidths up to 43.3%. Additionally, his MS thesis “A Compact Microstrip Patch Antenna for LTE Applications” explores compact, multiband antennas, enhancing bandwidth for miniaturized LTE devices through optimized feeding techniques. 🌐📡📶

Achievements

Dr. Muhammad Ishfaq is an accomplished scholar with notable achievements, including receiving the prestigious “Chinese Government” and “European Erasmus” Scholarships, as well as the Linnaeus University Scholarship 🎓🌍. He has contributed to academic community engagement by organizing events such as the “Alumni Get-Together” at the University of Faisalabad in 2014 🎉. Dr. Ishfaq also led impactful workshops, like the one on “Applications of the ISM Radio Bands” and a seminar on “Engineering Project Management” at the same university 📚. Additionally, he established the “Power Electronics and Electric Machines Labs,” further enhancing research opportunities at the institution ⚡🔧.

Research Focus

Dr. Muhammad Ishfaq’s research focus lies in advanced metasurfaces, polarization conversion, and orbital angular momentum (OAM) technologies. His work emphasizes the development of wideband, dual-band, and multifunctional metasurfaces for polarization conversion, particularly in the Ka-band and terahertz regimes. He explores the creation of OAM vortex beams for communication systems and investigates novel polarization converter designs for linear-to-circular conversions. Additionally, his research includes energy-efficient path planning for multi-UAV environments in 5G networks. With contributions to IEEE journals and other high-impact publications, his work significantly advances modern wireless communication and electromagnetic technologies. 📡🔬📶🌐

 

Publication Top Notes

 

Design and Simulation of Inductive Power Transfer Pad for Electric Vehicle Charging

Dual-Polarization Conversion and Coding Metasurface for Wideband Radar Cross-Section Reduction

A Multiband and Multifunctional Metasurface for Linear and Circular Polarization Conversion in Reflection Modes

Wideband OAM Vortex Beam Generation Through a Thin Transmitarray in the Ka-Band

A Low Profile Wideband Linear to Circular Polarization Converter Metasurface with Wide Axial Ratio and High Ellipticity

A Transmissive Metasurface Generating Wideband OAM Vortex Beam in the Ka-Band

A High-Efficiency Dual-Band Linear-to-Circular Polarization Converter Based on Rectangular-Slot Reflective Metasurface

Dynamic Positioning and Energy-Efficient Path Planning for Disaster Scenarios in 5G-Assisted Multi-UAV Environments

 

atieh ranjbar | Engineering and Technology | Best Researcher Award

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atieh ranjbar | Engineering and Technology | Best Researcher Award

Assist. Prof. Dr atieh ranjbar, Tafresh University, Iran

Assist. Prof. Dr. Atieh Ranjbar 🎓 is a chemical engineer specializing in nanocatalysts and CO2 conversion 🌱. She earned her Ph.D. in Chemical Engineering from the University of Isfahan (2020) and her M.Sc. from the University of Kashan 🏫. Her research focuses on reverse water gas shift (RWGS) and reforming reactions 🔬. Dr. Ranjbar has published extensively and presented at international conferences 🌍. She teaches reactor design, thermodynamics, and nanotechnology 📚. A recognized exceptional talent, she ranked 3rd in her Ph.D. program 🏅. Her interests include nanotechnology, heterogeneous catalysts, and lithium-ion batteries 🔋.

Publication Profile

google scholar

Education

Assist. Prof. Dr. Atieh Ranjbar holds a Ph.D. in Chemical Engineering 🎓 from the University of Isfahan (2012-2020, GPA: 18.12/20), where her research focused on Ni-based nano-catalysts in reverse water gas shift reactions ⚗️. She earned her M.Sc. from the University of Kashan (2008-2011, GPA: 18.91/20), investigating the effect of Al2O3 to CaO ratios on nickel catalysts for dry reforming 🌡️. Dr. Ranjbar completed her B.Sc. in Chemical Engineering at the same university (2004-2008, GPA: 16.24/20). Her expertise lies in catalysis, nanomaterials, and advanced chemical processes, contributing significantly to the field of chemical engineering 🔬.

Experience

Assoc. Prof. Dr.atieh ranjbar is a distinguished chemical engineer specializing in fluid mechanics, heat transfer, and thermodynamics 🌡️📊. He teaches at Tafresh University and lectures at Qom and Hormozgan universities. His Ph.D. focused on Ni-promoted nanocatalysts for CO2 conversion into valuable chemicals 🌱⚙️. His research enhances CO2 recycling efficiency through nanocatalysts, boosting RWGS reaction performance. He also worked on hydrophilic nano LiMn2O4 for lithium-ion batteries 🔋 and nanocrystalline calcium aluminates for syngas production. Dr. Irankhah’s passion for innovation and teaching drives his contributions to advanced reactor design and chemical engineering education 🚀📚.

Honors and Awards

Assoc. Prof. Dr atieh ranjbar is a distinguished academic, ranked 3rd in his Ph.D. program among 10 candidates 🎓. In 2012, he was recognized as an exceptional talent and accepted as a Ph.D. candidate at the University of Isfahan 🏛️. He also achieved 3rd place in his M.Sc. program among 15 students, showcasing his dedication to excellence 📚. In 2008, he was acknowledged as an exceptional talent among 60 students and accepted into the M.Sc. program at the University of Kashan 🌟. His academic journey reflects perseverance, talent, and a passion for higher education.

Presentations

Assoc. Prof. Dr atieh ranjbar has made significant contributions to chemical engineering through various oral and poster presentations 🎓🧪. He has presented at prestigious events like the International Chemical Engineering Congress (IChEC), discussing topics such as Ni-Fe catalysts on nano-Al2O3 for reverse water gas shift reactions (2018) and heat transfer in non-Newtonian fluids (2014) 🌡️🔬. His poster presentations at the National Applied Chemistry Congress (2019) explored Ni nanocatalysts and K-promoted alumina catalysts in key catalytic reactions ⚙️. His work emphasizes methane reforming, calcium aluminates, and nanocatalysts, reflecting his expertise in advanced materials and chemical processes 🌍🔥.

Research Focus

Assoc. Prof. Dr atieh ranjbar research focuses on developing advanced nickel-based catalysts for methane reforming and CO2 utilization 🔬🌱. His work explores catalyst support materials like nanocrystalline MgO, CaO, and Al2O3 to enhance efficiency in processes like dry reforming and the reverse water-gas shift reaction ⚙️🔥. By synthesizing catalysts with high surface areas and unique morphologies, he contributes to cleaner energy solutions and CO2 mitigation 🌍♻️. His studies also investigate the role of rare earth and alkali metals in boosting catalytic performance, reflecting a dedication to sustainable hydrogen production and greenhouse gas reduction 🚀🌐.

Publication Top Notes

Preparation of nickel catalysts supported on CaO. 2Al2O3 for methane reforming with carbon dioxide

Autothermal reforming of methane over Ni catalysts supported on nanocrystalline MgO with high surface area and plated-like shape

Reverse water gas shift reaction and CO2 mitigation: nanocrystalline MgO as a support for nickel based catalysts

Dry reforming reaction over nickel catalysts supported on nanocrystalline calcium aluminates with different CaO/Al2O3 ratios

Low temperature synthesis of nanocrystalline calcium aluminate compounds with surfactant-assisted precipitation method

Catalytic activity of rare earth and alkali metal promoted (Ce, La, Mg, K) Ni/Al2O3 nanocatalysts in reverse water gas shift reaction

Effect of MgO/Al2O3 ratio in the support of mesoporous Ni/MgO–Al2O3 catalysts for CO2 utilization via reverse water gas shift reaction

 

 

 

Dong-Bin Kwak | Mechanical Engineering | Best Researcher Award

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Dong-Bin Kwak | Mechanical Engineering | Best Researcher Award

Assist. Prof. Dr Dong-Bin Kwak, Seoul National University of Science and Technology, South Korea

Assist. Prof. Dr. Dong-Bin Kwak 🎓🔬 is a dedicated mechanical engineer specializing in nanoparticle engineering and filtration systems. He earned his Ph.D. from the University of Minnesota 🏫 (2017-2023) and his B.Sc. summa cum laude 🎖️ from Hanyang University (2011-2017). Currently, he is an Assistant Professor at Seoul National University of Science and Technology 📚, leading the Nanoparticle Engineering Laboratory. His cutting-edge research focuses on air filtration, hydrosol measurements, and heat sink optimization 💨⚙️. Dr. Kwak is a recipient of the Young Scientist Award 🏆 and the AFS Fellowship. He has authored impactful publications and delivered numerous invited talks globally 🌍.

Publication Profile

google scholar

Education

Assist. Prof. Dr. Dong-Bin Kwak is an accomplished mechanical engineer with an impressive academic journey 📚. He earned his Ph.D. in Mechanical Engineering from the University of Minnesota, Twin Cities, USA (Sep. 2017 – Jan. 2023) 🌏🔧. Prior to this, he completed his Bachelor of Science in Mechanical Engineering with summa cum laude honors at Hanyang University, Seoul, Korea (Mar. 2011 – Feb. 2017) 🌟💼. His dedication to excellence and innovation has marked his academic and professional endeavors 💡. With expertise in mechanical engineering and a global education, Dr. Kwak continues to make impactful contributions to the field 🛠️📈.

Research and Project Experience

Assist. Prof. Dr. Dong-Bin Kwak is an esteemed Assistant Professor at Seoul National University of Science and Technology, leading the Nanoparticle Engineering Laboratory (NEL) 🎓. His research spans air filtration systems 💨, CMP-slurry filtration 🌎, and nanoparticle measurement 🔢, supported by LG and Samsung Electronics. Dr. Kwak optimizes filtration efficiency under varying humidity 🌪 and temperature ☀️ and pioneers AI-based heat sink designs 🧮. With expertise from roles at Onto Innovation 🌟 and the University of Minnesota, he advanced automated optical inspection 👁️ and contamination control 💧. His work also explores COVID-19 ventilation optimization 🦠 and electrospun nanofiber filtration. Dr. Kwak is a trailblazer in environmental and thermal engineering 🏫🔄.

Awards

Assist. Prof. Dr. Dong-Bin has earned numerous prestigious accolades 🏆 throughout his academic and professional journey. He received the Young Scientist Award from KSMPE in Dec. 2024 🧪 and the AFS Fellowship twice (2019, 2023) 🌍. Notably, he was honored with the Mechanical Engineering Fellowship and Honorary Hanyang Study Abroad Scholarship (2017-2018) 📚. His excellence began early, winning the National Engineering Fully Funded Scholarship (2011-2017) 🛠️ and multiple awards at Hanyang University, including the President’s List Scholarship 🥇. His achievements span Best Design 🏅, Capstone Chief Award 🎓, and Excellence Awards in competitions 🏗️. He also received the Best Tutor Award for Engineering Mathematics 📐.

Collaborations & Teaching 📚 

Assist. Prof. Dr. Dong-Bin Kwak fosters innovation through impactful collaborations with industry giants like Samsung and LG 🤝💡. His commitment to nurturing future leaders is evident through his mentorship of undergraduate students 🎓✨. Dr. Kwak has shared his expertise as a professor at Seoul National University of Science and Technology 🏫🇰🇷 and as a course instructor at the University of Minnesota 📚🇺🇸. These roles highlight his dedication to academic growth and knowledge dissemination 📖🧑‍🏫. By bridging academia and industry, Dr. Kwak continues to drive technological advancements and inspire the next generation of innovators 🚀🔬.

Research Focus

Assist. Prof. Dr. Dong-Bin Kwak’s research focuses on thermal management systems, nanoparticle behavior, and nanofiber filtration technology 🔬🌡️. His studies include improving nanofiber filter performance 🧵🔍, modeling inverse heat conduction for irregular structures 🏗️🔥, and optimizing radial heat sinks with triangular fins for efficient cooling 🌀❄️. Dr. Kwak also investigates nanoparticle transport, deposition, and pressure drop across sharp-bent tubes and membranes, contributing to filtration efficiency and thermal sciences 🧪📊. His interdisciplinary work advances air quality, heat transfer, and filtration systems, addressing real-world challenges in energy and environmental engineering 🌍⚙️. His findings aid in optimizing industrial systems and cutting-edge filtration technologies 🏭✨.

Publication top notes

Nanofiber filter performance improvement: nanofiber layer uniformity and branched nanofiber

Inverse heat conduction modeling to predict heat flux in a hollow cylindrical tube having irregular cross-sections

Cooling performance of a radial heat sink with triangular fins on a circular base at various installation angles

Numerical investigation of nanoparticle deposition location and pattern on a sharp-bent tube wall

Optimization of the radial heat sink with a concentric cylinder and triangular fins installed on a circular base

Natural convection flow around heated disk in cubical enclosure

Characterization of colloidal nanoparticles in mixtures with polydisperse and multimodal size distributions using a particle tracking analysis and electrospray-scanning …

Influence of colloidal particles with bimodal size distributions on retention and pressure drop in ultrafiltration membranes

Experimental study of nanoparticle transport and penetration efficiency on a sharp-bent tube (elbow connection)

Modeling pressure drop values across ultra-thin nanofiber filters with various ranges of filtration parameters under an aerodynamic slip effect

 

 

Sandeep Jain | Engineering and Technology | Best Researcher Award

Published on by Research Hypothesis

Sandeep Jain | Engineering and Technology | Best Researcher Award

Dr Sandeep Jain, Sungkyunkwan University, Republic of Korea, South Korea

Dr. Sandeep Jain is a metallurgical engineer and researcher with expertise in machine learning applications in alloy design, lightweight materials, and high-entropy alloys. He holds a Ph.D. (2023) and M.Tech. (2017) from IIT Indore and a B.E. in Mechanical Engineering (2013). Currently a Postdoctoral Researcher at Sungkyunkwan University, South Korea, Dr. Jain focuses on designing multicomponent alloys and optimizing manufacturing processes. He has published extensively, including works on machine learning-driven phase prediction and flow stress modeling. Dr. Jain is a guest editor, reviewer for leading journals, and recipient of prestigious awards like the Global Best Achievement Award 2024. 🧪🤖🌍

Publication Profile

Orcid

Education

Dr. Sandeep Jain is a dedicated scholar with a robust academic background in engineering. 🎓 He earned his Ph.D. (2017-2023) and M.Tech (2015-2017) in Metallurgical Engineering and Materials Science from the prestigious Indian Institute of Technology Indore, achieving impressive CGPAs of 8.67 and 8.75, respectively. 📘✨ His journey in engineering began with a B.E. in Mechanical Engineering from MBM Engineering College, Jodhpur (2009-2013), where he secured a commendable 68% score. 🔧📚 Dr. Jain’s academic excellence reflects his passion for materials science and mechanical engineering, laying a solid foundation for impactful contributions to his field. 🚀🔬

Research Experience

Dr. Sandeep Jain, currently a Postdoctoral Researcher at Sungkyunkwan University, South Korea 🇰🇷, specializes in designing lightweight multicomponent alloys and optimizing injection molding processes using machine learning 🤖. As a Research Associate at IIT Delhi 🇮🇳, he analyzed the mechanical and creep behavior of Ni-based superalloys and pioneered sustainable rose gold plating methods 🌟. His tenure at IIT Indore included designing lightweight Ni-based alloys and conducting advanced phase equilibria studies 🔬. Dr. Jain’s expertise extends to simulation tools like ANSYS Fluent, XRD, and EBSD, contributing to innovative and sustainable material development 🌍.

Teaching Experience

Dr. Sandeep Jain has an extensive teaching background in materials science and engineering. As a Teaching Assistant at the Indian Institute of Technology Indore (Dec 2017–Nov 2022 and July 2015–June 2017), he contributed to courses like Solidification and Phase Field Modelling, Computational Methods for Materials, and Physical Metallurgy. His expertise also spans practical modules, including Mechanical Workshop, Casting and Welding Lab. Earlier, he served as a Guest Faculty at Govt. Engineering College, Ajmer (Aug 2013–June 2014), teaching Material Science, Engineering Mechanics, Strength of Materials, and more. Dr. Jain’s dedication to education blends technical knowledge with hands-on experience. 🎓🛠️📚

Awards / Fellowships

Dr. Sandeep Jain has earned prestigious accolades for his outstanding achievements in academia and research. In 2024, he was honored with the Global Best Achievement Awards 🎖️🌟, recognizing his contributions to his field. His academic journey has been supported by prestigious fellowships, including the Ph.D. Fellowship 🧑‍🎓📚 and the M.Tech. Fellowship 🎓🔬, both awarded by the Ministry of Human Resource Development (MHRD), Government of India. These honors highlight his dedication, innovation, and excellence in advancing knowledge and contributing to societal progress. Dr. Jain’s achievements continue to inspire and set benchmarks for aspiring scholars worldwide. 🚀📖

Research Focus

Dr. Sandeep Jain’s research focuses on the development and application of machine learning techniques to predict mechanical properties in lightweight alloys and high entropy alloys. His studies include hardness prediction, flow stress, phase prediction, and the influence of processing methods like friction stir processing. These investigations aim to enhance the performance of advanced materials such as Al-Mg-based alloys and CoCrFeNiV high entropy alloys. His work bridges the gap between experimental studies and computational simulations, contributing valuable insights into alloy design and optimization. 🌟🔍📊

Publication Top Notes

A Machine Learning Perspective on Hardness Prediction in Advanced Multicomponent Al-Mg Based Lightweight Alloys

A Machine learning perspective on hardness prediction in multicomponent Al-Mg based lightweight alloys

Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniques

Influence of Friction Stir Processing on Novel Designed Aluminium-Based Alloy to Enhance Strength and Ductility

Machine learning-driven insights into phase prediction for high entropy alloys

Effect of Ta on the Evolution of Phases and Mechanical Properties of Novel Seven Components Fe–Co–Ni–Cr–V–Al–Ta Eutectic High Entropy Alloys: Experimental Study and Numerical Simulation

Yingchun Xie | Engineering and Technology | Best Researcher Award

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Yingchun Xie | Engineering and Technology | Best Researcher Award

Prof Yingchun Xie, College of Engineering, Ocean University of China, China

Prof. Yingchun Xie is a Full Professor at the Faculty of Engineering, Ocean University of China. She specializes in the safety of new energy ships and the environmental adaptability of marine equipment. With over 20 research projects funded by the National Natural Science Foundation of China, Prof. Xie has published 40+ papers, 2 monographs, and holds 30 patents. She has won several prestigious awards, including the Science and Technology Progress Prize of Shandong Province. She has an H-index of 45 and actively contributes to academic conferences and collaborative research. 🌊🚢🔬📚🎓

Publication Profile

Scopus

Education & Experience

Dr. Yingchun Xie is a Full Professor at the Faculty of Engineering, Ocean University of China, specializing in the safety of new energy ships and the environmental adaptability of offshore equipment. Over the years, she has led two National Natural Science Foundation of China-funded projects and managed over 20 scientific research endeavors. Her impressive work includes over 40 academic papers, two monographs, and more than 20 authorized patents. Dr. Xie has received notable honors, including the First Prize for Science and Technology Progress in Shandong Province and the Qingdao Youth Science and Technology Award. 🚢🔬📚🏆🧑‍🔬

Research

Prof. Yingchun Xie has made significant contributions to research with 24 completed and ongoing projects. With 637 citations across Scopus, Web of Science, and other databases, he has authored 3 books and 46 journal publications in SCI and SCIE-indexed journals. His work has led to 30 patents, and he has delivered 10 invited talks. Prof. Xie has successfully supervised 19 research scholars and currently guides 18 others. He has organized 10 conferences/workshops and holds 5 functional MoUs with universities and industries. A member of 18 professional bodies, he has received 11 awards, demonstrating his dedication to advancing research. 📚🔬🌍👨‍🏫🎓

Research & Development

Dr. Yingchun Xie is a leading expert in the safety of new energy ships and the environmental adaptability of marine engineering equipment. With over 20 research projects, including National Natural Science Foundation tasks, she has tackled various technical challenges, contributing significantly to the industry’s technical advancement. Driven by innovation, Dr. Xie bridges cutting-edge academic research with practical engineering applications, promoting the development of relevant professional theories. Her research achievements have earned her recognition at academic and industry events, enhancing her university’s visibility and attracting resources to advance the field of new energy ships and marine equipment. 🚢🔬🌱🌊📚

Research Focus

Prof. Yingchun Xie’s research primarily focuses on marine and energy systems, with an emphasis on advanced technologies for hydrogen energy, acoustic emission monitoring, and underwater engineering. His work on hydrogen diffusion and sensor strategies in marine engine rooms is pivotal for improving safety and energy efficiency in maritime applications 🚢💡. He also explores deep learning methods for methane plume detection using optical imaging 🧠📸 and hydrodynamic characteristics of underwater gas storage devices 🌊🔋. Additionally, Prof. Xie is involved in the thermodynamic and economic analysis of energy systems, including combined cooling, heating, and power systems 🔥💨. His diverse research combines ocean engineering, energy storage, and marine technologies.

Publication Top Notes

Research on hydrogen diffusion and sensor arrangement strategy in a marine engine room

FMAW-YOLOv5s: A deep learning method for detection of methane plumes using optical images

Near-field acoustic emission source localization method based on orthogonal matching pursuit under nonuniform linear array

Numerical simulation and experimental study of hydrodynamic characteristics of inverted-droplet underwater gas storage devices

Thermodynamic and economic analysis of the combined cooling, heating, and power system coupled with the constant-pressure compressed air energy storage

Grabbing Path Extraction of Deep-Sea Manganese Nodules Based on Improved YOLOv5

Study on the impact of wave characteristics on the performance of full-scale tidal turbine

An improved near-field weighted subspace fitting algorithm based on niche particle swarm optimization for ultrasonic guided wave multi-damage localization

 

 

Malykhina Galina | Engineering and Technology | Best Researcher Award

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Malykhina Galina | Engineering and Technology | Best Researcher Award

Prof. Dr Malykhina Galina, Graduate School of Cyber-Physical Systems Control, Institute of Computer Science and Cybersecurity, Peter the Great St. Petersburg Polytechnic University, Saint-Petersburg, Russia

🌐 Prof. Dr. Galina Malykhina is a distinguished Doctor of Engineering Sciences and Professor at the Higher School of Computer Technologies and Information Systems, Peter the Great St. Petersburg Polytechnic University. After earning her degree in Technical Cybernetics, she advanced to research, specializing in radioisotope measurement for oil, UAV automation, and medical devices 🤖💼. She has guided 8 PhD and 1 doctoral thesis, authored 182+ publications, and presented globally 🌍📈. Honored as a distinguished professor, her courses cover computing networks, cybersecurity, and programming, with recent work on neural networks for industry applications 🧠📡.

Publication profile

Orcid

Academic and Professional Background 

Prof. Dr. Galina Fedorovna Malykhina is a distinguished Doctor of Engineering Sciences and Professor at Peter the Great St. Petersburg Polytechnic University (SPbPU). 🌟 With a career beginning as an engineer in Technical Cybernetics, she has advanced to leadership roles in academia and research. Her expertise is backed by a Ph.D. and doctoral degree in Information, Measuring, and Control Systems. 📚🔧 Throughout her career, Prof. Malykhina has contributed significantly to various high-impact areas in engineering, becoming a recognized leader in her field. Her dedication continues to shape the future of engineering education and research. 🏫🔬

Mentorship and Academic Contributions

Prof. Dr. Malykhina has made significant contributions to academia, particularly in mentorship and research. She has supervised numerous research theses, guiding eight candidate dissertations and one doctoral dissertation. Her dedication to shaping future researchers has solidified her role as both an educator and a researcher. Through her mentorship, she fosters academic growth, ensuring that her students are equipped to succeed in their fields. Her influence extends beyond research, nurturing a new generation of scholars who will continue her work and contribute to the academic community. 🧑‍🏫📚🎓👩‍🔬📖

Recognition 

Prof. Dr. Malykhina has an impressive academic record with 182 publications in the Russian Science Citation Index (RSCI), including 73 core publications and 21 indexed in Scopus and Web of Science 📚🌐. Her contributions to research and academia have earned her the prestigious title of “Honored Professor of SPbPU” 🏅, as well as a jubilee medal from SPbPU, recognizing her outstanding impact in her field 🏆. Her work continues to inspire and shape the academic community, reflecting her dedication and excellence in research and education 👩‍🏫✨.

Educational Impact and International Reach 

Dr. Malykhina has made significant contributions to education by teaching a wide range of courses, from Information Security to Digital Image Processing, for both Russian and international students. Her expertise and dedication to advancing knowledge have earned her opportunities to present her research at numerous international and national conferences. These engagements have allowed her to expand the global reach of her work, bridging academic communities worldwide. Dr. Malykhina’s commitment to education and research has not only enriched her students’ learning experiences but has also made valuable contributions to the global scientific dialogue. 🎓🌍💻📊

Research focus

Prof. Dr. Galina Malykhina’s research focus lies at the intersection of signal processing, machine learning, and mathematical modeling. Her work includes developing advanced techniques like wavelet cross-correlation for two-phase flow control systems in oil well production, and applying physics-informed neural networks (PINNs) to solve complex problems in chemical reactor modeling. She has contributed to methods that solve parameterized singular perturbation problems, leveraging physics-based neural network approaches. Her research also explores the integration of analytical modifications with numerical methods for better process modeling in various industrial applications. 📊🔬💻⚙️

Publication top notes

Wavelet Cross-Correlation Signal Processing for Two-Phase Flow Control System in Oil Well Production

Constructing Physics-Informed Neural Networks with Architecture Based on Analytical Modification of Numerical Methods by Solving the Problem of Modelling Processes in a Chemical Reactor

Physics-Based Neural Network Methods for Solving Parameterized Singular Perturbation Problem

conclusion 

Prof. Dr. Galina Malykhina’s extensive background in engineering, impactful research contributions, role in mentoring emerging researchers, recognized publication record, and global academic engagement establish her as a highly deserving candidate for the Research for Best Researcher Award. Her work demonstrates the qualities of a leading researcher committed to both innovation and education in her field.